Xinhua Zhang
Xinhua Zhang
Verified email at uic.edu - Homepage
TitleCited byYear
Convex multi-view subspace learning
M White, Y Yu, X Zhang, D Schuurmans
Advances in Neural Information Processing Systems, 1673-1681, 2012
1092012
Accelerated training for matrix-norm regularization: A boosting approach
X Zhang, Y Yu, D Schuurmans
Advances in Neural Information Processing Systems, 2906-2914, 2012
952012
Hyperparameter learning for graph based semi-supervised learning algorithms
X Zhang, WS Lee
Advances in neural information processing systems, 1585-1592, 2006
532006
Tailoring density estimation via reproducing kernel moment matching
L Song, X Zhang, A Smola, A Gretton, B Schölkopf
Proceedings of the 25th international conference on Machine learning, 992-999, 2008
472008
Bayesian online learning for multi-label and multi-variate performance measures
X Zhang, T Graepel, R Herbrich
Proceedings of the Thirteenth International Conference on Artificial …, 2010
332010
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions.
X Zhang, Y Yu, M White, R Huang, D Schuurmans
AAAI, 2011
322011
Kernel measures of independence for non-iid data
X Zhang, L Song, A Gretton, AJ Smola
Advances in neural information processing systems, 1937-1944, 2009
322009
Consistent image analogies using semi-supervised learning
L Cheng, SVN Vishwanathan, X Zhang
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
312008
Generalized conditional gradient for sparse estimation
Y Yu, X Zhang, D Schuurmans
Journal of Machine Learning Research 18 (144), 1-46, 2017
282017
Support Vector Machines
X Zhang
Encyclopedia of Machine Learning, 941-946, 2011
272011
Convex deep learning via normalized kernels
Ö Aslan, X Zhang, D Schuurmans
Advances in Neural Information Processing Systems, 3275-3283, 2014
262014
Convex two-layer modeling
Ö Aslan, H Cheng, X Zhang, D Schuurmans
Advances in Neural Information Processing Systems, 2985-2993, 2013
212013
Conditional random fields for multi-agent reinforcement learning
X Zhang, D Aberdeen, SVN Vishwanathan
Proceedings of the 24th international conference on Machine learning, 1143-1150, 2007
212007
New approximation algorithms for minimum enclosing convex shapes
A Saha, SVN Vishwanathan, X Zhang
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete …, 2011
202011
New approximation algorithms for minimum enclosing convex shapes
A Saha, SVN Vishwanathan, X Zhang
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete …, 2011
192011
Smoothing multivariate performance measures
X Zhang, A Saha, SVN Vishwanathan
Journal of Machine Learning Research 13 (Dec), 3623-3680, 2012
182012
Scalable and Sound Low-Rank Tensor Learning
H Cheng, Y Yu, X Zhang, E Xing, D Schuurmans
Proceedings of the 19th International Conference on Artificial Intelligence …, 2016
152016
Polar operators for structured sparse estimation
X Zhang, YL Yu, D Schuurmans
Advances in Neural Information Processing Systems, 82-90, 2013
142013
A very gentle note on the construction of dirichlet process
X Zhang
The Australian National University, Canberra, 2008
142008
Approximate low-rank tensor learning
Y Yu, H Cheng, X Zhang
7th NIPS Workshop on Optimization for Machine Learning, 2014
112014
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Articles 1–20